Publications

Recent Publications

1. Ahmed M Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A Fahmy. ‘‘Resource-Efficient Federated Learning’’. ACM European Conference on Computer Systems (ACM EuroSys), ACM SIGOPS, 2023.

2. Ahmed M. Abdelmoniem, Brahim Bensaou, “T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks”, IEEE/ACM Transactions on Networking (ToN), 2021.

3. Amna Arouj, Ahmed M. Abdelmoniem. ‘‘EAFL: Towards Energy-Aware Federated Learning on Battery-Powered Edge Devices’’. 1st Workshop on Federated Edge Learning - FedEdge, ACM MobiCom, 2021.

4. Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini. ‘‘Empirical analysis of federated learning in heterogeneous environments’’. 2nd Workshop on Machine Learning and Systems - EuroMLSys, ACM EuroSys, 2022.

5. Atal Narayan Sahu, Aritra Dutta, Ahmed M Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis. ‘‘Rethinking gradient sparsification as total error minimization’’. 35th Conference on Neural Information Processing Systems (NeurIPS), 2021.

6. Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alounin, Marco canini. ‘‘An Efficient Statistical-based Gradient Compression Technique for Distributed Training System’’, International Conference on Machine Learning Systems (MLSys), 2021.

7. Ahmed M. Abdelmoniem, Marco Canini. ‘‘DC2: Delay-aware Compression Control for Distributed Machine Learning’’. IEEE International Conference on Computer Communications (INFOCOM) 2021.

8. Ahmed M. Abdelmoniem, Hengky Susanto and Brahim Bensaou. ‘‘HWatch: Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch’’. Proceedings of ACM International Conference on Parallel Processing (ACM ICPP), 2020. PDF

9. Ahmed M. Abdelmoniem, Hengky Susanto and Brahim Bensaou. ‘‘Taming Latency in Data centers via Active Congestion-Probing’’, in Proceedings of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), Dallas, Texas, USA, Jul 2019. PDF

10. Ahmed M. Abdelmoniem, Brahim Bensaou, "Hysteresis-based Active Queue Management for TCP Traffic in Data Centers", in IEEE INFOCOM, 2019. PDF

Journals

1. Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel N Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M Abdelmoniem, Felix Cuadrado, Blesson Varghese, Omer Rana, Schahram Dustdar, Steve Uhlig. AI-based fog and edge computing: A systematic review, taxonomy and future directions. Elsevier Internet Of Things Journal, 2022.

2. Sameh Abdulah, Walid Atwa, Ahmed M Abdelmoniem, Active clustering data streams with affinity propagation, Elsevier ICT Express, 2022

3. Ahmed M. Abdelmoniem, Brahim Bensaou, “T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks”, IEEE/ACM Transactions on Networking (ToN), 2021.

4. Jiaqing Dong, Hao Yin, Chen Tian, Ahmed M. Abdelmoniem, Huaping Zhou, Bo Bai, Gong Zhang. “Uranus: Congestion-proportionality among Slices based on Weighted Virtual Congestion Control”. Computer Networks, Elsevier, 2018. PDF

5. Ahmed M. Abdelmoniem, Brahim Bensaou and Amuda James Abu, “Mitigating Incast-TCP Congestion in Data Centers with SDN”, Invited extended version in special issue on Cloud Communications and Networking, Annals of Telecommunications Journal, Springer, Jan 2017. PDF

6. Ahmed M. Abd Elmoniem, Hosny M. Ibrahim, Marghny H. Mohamed, and Abdel-Rahman Hedar, “Ant Colony and Load Balancing Optimizations for AODV Routing Protocol”, International Journal of Sensor Networks and Data Communications Vol. 1 (2011), Article ID X110203, 14 pages doi:10.4303ijsndcX110203. PDF

Conferences

1. Ahmed M Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A Fahmy. ‘‘Resource-Efficient Federated Learning’’. ACM European Conference on Computer Systems (ACM EuroSys), ACM SIGOPS, 2023.

2. Amna Arouj, Ahmed M. Abdelmoniem. ‘‘EAFL: Towards Energy-Aware Federated Learning on Battery-Powered Edge Devices’’. 1st Workshop on Federated Edge Learning - FedEdge, ACM MobiCom, 2021.

3. Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini. ‘‘Empirical analysis of federated learning in heterogeneous environments’’. 2nd Workshop on Machine Learning and Systems - EuroMLSys, ACM EuroSys, 2022.

4. Atal Narayan Sahu, Aritra Dutta, Ahmed M Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis. ‘‘Rethinking gradient sparsification as total error minimization’’. 35th Conference on Neural Information Processing Systems (NeurIPS), 2021.

5. Kelvin HT Chiu, Jason Min Wang, Ahmed M Abdelmoniem, Brahim Bensaou. ‘‘An Efficient Statistical-based Gradient Compression Technique for Distributed Training System’’, 22nd IEEE International Conference on High Performance Switching and Routing (HPSR), 2021.

6. Ahmed M. Abdelmoniem, Marco Canini. ‘‘Towards mitigating device heterogeneity in federated learning via adaptive model quantization’’. 1st Workshop on Machine Learning and Systems - EuroMLSys, ACM EuroSys, 2021.

7. Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alounin, Marco canini. ‘‘An Efficient Statistical-based Gradient Compression Technique for Distributed Training System’’, International Conference on Machine Learning Systems (MLSys), 2021.

8. Ahmed M. Abdelmoniem, Marco Canini. ‘‘DC2: Delay-aware Compression Control for Distributed Machine Learning’’. IEEE International Conference on Computer Communications (INFOCOM) 2021.

9. Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis. ‘‘Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning’’, Proceedings of DistributedML workshop of 16th International Conference on emerging Networking EXperiments and Technologies (CoNEXT20)., 2020. PDF

10. Ahmed M. Abdelmoniem, Hengky Susanto and Brahim Bensaou. ‘‘HWatch: Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch’’. Proceedings of ACM International Conference on Parallel Processing (ACM ICPP), 2020. PDF

11. Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, and Panos Kalnis. ‘‘On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning“, in Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). PDF

12. Ahmed M. Abdelmoniem, Hengky Susanto and Brahim Bensaou. ‘‘Taming Latency in Data centers via Active Congestion-Probing’’. Proceedings of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), Dallas, Texas, USA, Jul 2019. PDF

13. Hengky Susanto, Ahmed M. Abdelmoniem, Honggang Zhang, Benyuan Liu and Don Towsley. ‘‘Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads’’. Proceedings of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS), Dallas, Texas, USA, Jul 2019. PDF

14. Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘Hysteresis-based Active Queue Management for TCP Traffic in Data Centers’’. Proceedings of IEEE Computer Communications Conference (IEEE INFOCOM), Paris, France, Apr 2019. PDF

15. Hengky Susanto, Ahmed M. Abdelmoniem, Hao Jin, Brahim Bensaou, "Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks", in Proceedings of IEEE ICC, 2019. [PDF].

16. Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem and Brahim Bensaou. ‘‘On Network Systems Design: Pushing the Performance Envelope via FPGA Prototyping’’. Proceedings of IEEE Recent Trends in Computer Engineering Conference (IEEE ITCE), Aswan, Egypt, Feb 2019. PDF

17. Ahmed M. Abdelmoniem, Brahim Bensaou, Victor Barsoum ‘‘IncastGuard: An Efficient TCP-Incast Congestion Effects Mitigation Scheme for Data Center Network’’. Proceedings of IEEE Global Communications Conference (IEEE GlobeCom), UAE, Dec 2018. PDF

18. Wenwen Fu, Tao Li, Ahmed M. Abdelmoniem, and Zhigang Sun, ‘‘STRIDE: Single-Trip-time based Reliable Data Transport Protocol for the Reconfigurable Cloud’’. Accepted (then withdrawn to Huawei policy) in Proceedings of IEEE Global Communications Conference (IEEE GlobeCom), UAE, Dec 2018. PDF

19. Ahmed M. Abdelmoniem and Brahim Bensaou, “Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism“, in proceedings of IEEE INFOCOM 2018, Hawaii, USA Apr, 2018. PDF

20. Ahmed M. Abdelmoniem and Brahim Bensaou, “Enforcing Transport-Agnostic Congestion Control via SDN in Data Centers“, in proceedings of IEEE LCN 2017, Singapore Oct, 2017. PDF

21. Abadhan S. Sabyasachi, H M Dipu Kabir, Ahmed M. Abdelmoniem, Subrota K. Mondal, “A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market“, in proceedings of IEEE SRDS 2017, Hong Kong Sept, 2017. PDF

22. Ahmed M. Abdelmoniem, Brahim Bensaou and Amuda James Abu, “SICC: SDN-based Incast Congestion Control for Data Centers”, in Proceedings of IEEE ICC 2017, Paris, France, May-2017. PDF

23. Amuda James Abu, Brahim Bensaou and Ahmed M. Abdelmoniem, “Leveraging the Pending Interest Table Occupancy for Congestion Control in CCN“, in proceedings of IEEE LCN 2016, Dubai, Arab United Emirates, Sept-2016. PDF

24. Ahmed M. Abdelmoniem, Brahim Bensaou and Amuda James Abu, “HyGenICC: Hypervisor-based Generic IP Congestion Control for Virtualized Data Centers”, in Proceedings of IEEE ICC 2016, Kuala Lumpur, Malaysia, May-2016. PDF

25. Amuda James Abu, Brahim Bensaou and Ahmed M. Abdelmoniem, “A Markov Model of CCN Pending Interest Table Occupancy with Interest Timeout and Retries”, in Proceedings of IEEE ICC 2016, Kuala Lumpur, Malaysia, May-2016. PDF

26. Ahmed M. Abdelmoniem and Brahim Bensaou, “Efficient Switch-Assisted Congestion Control for Data Centers: an Implementation and Evaluation”, in Proceedings of IEEE IPCCC 2015, Nanjing, China, Dec-2015. PDF

27. Ahmed M. Abdelmoniem and Brahim Bensaou, “Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers”, in Proceedings of IEEE GlobeCom 2015, San Diego, USA, Dec-2015. PDF

28. Ahmed M. Abdelmoniem and Brahim Bensaou, “Reconciling Mice and Elephants in Data Center Networks”, in Proceedings of IEEE CloudNet 2015, Vancouver, CA, Oct-2015. PDF

29. Abdel-Moniem, A.M.; Mohamed, M.H.; Hedar, A.; , “An ant colony optimization algorithm for the mobile ad hoc network routing problem based on AODV protocol”, 10th International Conference on Intelligent Systems Design and Applications (ISDA), 2010. PDF

Reports

1. Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘Switch-based Schemes for TCP Performance Enhancement in Data Centers: Design, Synthesis and Evaluation’’. Tech. Report. HKUST-CS17-03. PDF

2. Ahmed M. Abdelmoniem and Brahim Bensaou. ‘‘End-host Timely TCP Loss Recovery via ACK Retransmission in Data Centres’’. Tech. Report. HKUST-CS17-02. PDF

3. Ahmed M. Abdelmoniem and Brahim Bensaou, ‘‘Control Theory Based Hysteresis Switch for Congestion Control in Data Centers’’. Tech. Report. HKUST-CS17-01. PDF

4. Ahmed M. Abdelmoniem and Brahim Bensaou, ‘‘SDN-based Generic Congestion Control Mechanism for Data Centers: Implementation and Evaluation’’. Tech. Report. HKUST-CS16-02 PDF

5. Ahmed M. Abdelmoniem and Brahim Bensaou, ‘‘SICC: SDN-based Incast Congestion Control Framework for Data Centers: Implementation and Evaluation’’. Tech. Report. HKUST-CS16-01. PDF

6. Ahmed M. Abdelmoniem and Brahim Bensaou, ‘‘Generic Hypervisor-based congestion control for data centers: Implementation and evaluation’’. Tech. Report. HKUST-CS15-03. PDF

Thesis

1. Ahmed M. Abdelmoniem, ‘‘On improving the performance of TCP applications in public cloud networks’’. Ph.D. Thesis, HKUST, Hong Kong, LINK

2. Ahmed M. Abdelmoniem, ‘‘Routing Optimization of Mobile AD-HOC Networks Based on Ant Colony Algorithms’’. M.Sc. Thesis, Assuit University, Egypt, LINK